{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/5"}],"enrichment":{"capability":"FairScale extends PyTorch with distributed training primitives and optimizations for scaling model training across multiple machines or GPUs.","skillfed_tags":["distributed-training","pytorch-extension","abandoned"],"use_cases":["Training large language models or vision models across multiple GPUs on a single machine.","Distributed training workflows spanning multiple nodes in a cluster or cloud environment.","Experimenting with advanced distributed optimization techniques in research projects using PyTorch.","Scaling existing PyTorch models to handle datasets or model sizes that exceed single-GPU memory."],"what_it_does":"FairScale is a PyTorch extension library designed to help train large models across multiple machines or GPUs by providing distributed training primitives and performance optimizations. It extends PyTorch's native capabilities with experimental features aimed at high-performance, large-scale training scenarios.\n\nThe package has been abandoned since December 2022 (1342 days without updates) and carries high install friction, likely due to compiled dependencies or tight coupling to specific PyTorch versions. While it remains permissively licensed under BSD and supports Python 3.8\u20133.10, the lack of maintenance means compatibility with recent PyTorch releases and Python versions is uncertain.","worth_installing":"No. The package is abandoned (no updates since December 2022) with high install friction and uncertain compatibility with current PyTorch and Python versions. For distributed PyTorch training, use PyTorch's native torch.distributed or maintained alternatives like DeepSpeed or Hugging Face Accelerate instead."},"id":"fairscale","links":{"html":"https://skillfed.io/packages/fairscale","md":"https://skillfed.io/packages/fairscale.md","pypi":"https://pypi.org/project/fairscale/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2022-12-11","license_spdx":null,"license_treatment":"permissive","name":"fairscale","python_support":"supports_current","summary":"FairScale: A PyTorch library for large-scale and high-performance training."},"popularity":{"monthly_downloads":545463,"position":6077,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.4.13"}